class_docstr: Adds stateful behavior and a numpy.ndarray-typed API to a closure with an
  expected return type Tuple[Tensor, Union[Tensor, Sequence[Optional[Tensor]]]].
class_docstr_tok: ["Adds","stateful","behavior","and","a","numpy.ndarray-typed","API","to","a","closure","with","an","expected","return","type","Tuple","[","Tensor",",","Union","[","Tensor",",","Sequence","[","Optional","[","Tensor","]","]","]","]","."]
code: def state(self, state: ndarray) -> None:
      self._set_state(state)
  
file_path: botorch/botorch/optim/closures/core.py
imports: from __future__ import annotations
  from functools import partial
  from typing import Any, Callable, Dict, Optional, Sequence, Tuple
  import torch
  from botorch.optim.utils import _handle_numerical_errors, get_tensors_as_ndarray_1d, set_tensors_from_ndarray_1d
  from botorch.optim.utils.numpy_utils import as_ndarray
  from botorch.utils.context_managers import zero_grad_ctx
  from numpy import float64, full, ndarray, zeros
  from torch import Tensor
label_desc: Use image node_id 4 for calling the NdarrayOptimizationClosure obj's underlying member method code with example usage: obj.state(state) without return types